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Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow...
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A list of stream gages within the conterminous United States that will serve as the initial list of sites (version 1.0) used for streamflow benchmarking of hydrologic models. Sites within this list were chosen based on their presence in the GAGES-II dataset, their availability of modeled streamflow data from the most recent version of the National Hydrologic Model application of Precipitation-Runoff Modeling System v1.0, and their availability of modeled streamflow data from the most recent version of the NOAA National Water Model application of WRF-hydro version 2.1 retrospective dataset.
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This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2017), with the processed data through September 30, 2017. The primary data for each year is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths...
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This data release contains daily time series estimates of natural streamflow at the outlets of more than 80,000 12-digit hydrologic units in 19 study regions across the conterminous U.S. from October 1, 1980 through September 30, 2017, using three statistical techniques: Nearest-Neighbor Drainage Area Ratio (NNDAR), Map-Correlation Drainage Area Ratio (MCDAR), and Ordinary Kriging of the logarithms of discharge per unit area (OKDAR). Location information and drainage areas for index gages were obtained from the "Reference" gages of the GAGES-II dataset (Falcone, 2011, https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011); location information and drainage areas for the HUC12 outlets were derived from attributes...
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This data release contains the models and their inputs and outputs needed to reproduce the findings for the publication by Soong and Over (2022), "Effect of Uncertainty of Discharge Data on Uncertainty of Discharge Simulation for the Lake Michigan Diversion, Northeastern Illinois and Northwestern Indiana." These data were developed in cooperation with the U.S. Army Corps of Engineers, Chicago District, for the Lake Michigan Diversion Accounting program. Data are provided in four zip files and one MS Word file. The MS Word file 4.ReadMe.HSPF_Recalibrations_with_17TimeSeriesPairs.docx documents the recalibration of the Hydrological Simulation Program - FORTRAN (HSPF) model with discharge time series pairs that characterize...
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This dataset contains the observed and simulated streamflow used to produce the results of the journal article entitled “Bias correction of Retrospective Simulation of Daily Streamflow at Ungauged Locations Using Independently Estimated Flow-Duration Curves ”. Observed streamflow, retrieved from the U.S. Geological Survey’s National Water Information System (https://waterdata.usgs.gov/nwis) in Spring of 2017, is included in comma-separated-values files (CSVs) as cubic feet per second. These CSVs also contain computed nonexceedance probabilities and streamflows estimated with pooled, ordinary kriging, with and without bias correction. CSVs of streamflow duration curves (fdc) are also provided. A streamflow and fdc...
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This data release contains the D-score (version 0.1) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations (version 1) as defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow. Using those errors, the D-score performance benchmark computes the mean squared logarithmic error (MSLE), then decomposes the overall MSLE into orthogonal components such as bias, distribution, and sequence (Hodson and others, 2021). For easier interpretation,...


    map background search result map search result map Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow-duration curves: Data release Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2017 Statistical daily streamflow estimates at HUC12 outlets in the conterminous United States, Water Years 1981-2017 Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Daily streamflow performance benchmark defined by D-score (v0.1) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Models, Inputs, and Outputs for Estimating the Uncertainty of Discharge Simulations for the Lake Michigan Diversion Using the Hydrological Simulation Program - FORTRAN Model Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Statistical daily streamflow estimates at HUC12 outlets in the conterminous United States, Water Years 1981-2017 Daily streamflow performance benchmark defined by D-score (v0.1) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow-duration curves: Data release